Designing Discovery Experience for Big Data Interaction: A Case of Web-Based Knowledge Mining and Interactive Visualization Platform

Qing Liu; Mihaela Vorvoreanu; Krishna P. C. Madhavan; Ann F. McKenna

doi:10.1007/978-3-642-39253-5_60

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Designing Discovery Experience for Big Data Interaction: A Case of Web-Based Knowledge Mining and Interactive Visualization Platform

Conference proceeding

Open access

Peer reviewed

Designing Discovery Experience for Big Data Interaction: A Case of Web-Based Knowledge Mining and Interactive Visualization Platform

Qing Liu, Mihaela Vorvoreanu, Krishna P. C. Madhavan and Ann F. McKenna

Design, User Experience, and Usability. Web, Mobile, and Product Design, pp.543-552

Lecture Notes in Computer Science

2013

DOI: 10.1007/978-3-642-39253-5_60

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Abstract

The exponentially growing data in every aspect of human lives is offering both opportunities to gain unprecedented insights and challenges for designing efficient discovery experiences. To respond to the challenge of dealing with big data, our work is designing a web-based, knowledge mining and interactive visualization platform that allows users to interactively synthesize, mine, and visualize large-scale data. In this paper, we extend the classic information retrieval concept of information seeking to more general insight discovery behavior. Our approach is to focus on user’s insight discovery workflow rather than data per se. User interviews were conducted to extract workflows and specific requirements to inform and direct design decisions.

big data

data discovery

User experience

user study

user-centered design

Details

Title: Subtitle: Designing Discovery Experience for Big Data Interaction: A Case of Web-Based Knowledge Mining and Interactive Visualization Platform
Creators: Qing Liu - Arizona State University
Mihaela Vorvoreanu - Purdue University System
Krishna P. C. Madhavan
Ann F. McKenna - Arizona State University
Resource Type: Conference proceeding
Publication Details: Design, User Experience, and Usability. Web, Mobile, and Product Design, pp.543-552
Series: Lecture Notes in Computer Science
DOI: 10.1007/978-3-642-39253-5_60
eISSN: 1611-3349
ISSN: 0302-9743
Publisher: Springer Berlin Heidelberg; Berlin, Heidelberg
Language: English
Date published: 2013
Academic Unit: Engineering Administration
Record Identifier: 9984460334402771

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